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10 часов назад

Data Product Manager (AI/ML)

100 000 - 140 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Data Product Manager (AI/ML): Designing and managing curated data products for reporting, analytics, and advanced analytics, including Machine Learning, with an accent on semantic and structural foundation for future ML use cases. Focus on improving data consistency, usability, and self-service adoption by translating raw source data into reusable, business-aligned datasets.

Location: Remote (US)

Salary: $100,000–$140,000 USD

Company

hirify.global is a market leader in online casino and sports betting, building integrated experiences between online, social, and land-based gaming businesses.

What you will do

  • Design and manage curated data products (fact and dimension tables) optimized for reporting, analytics, and downstream analytical use cases.
  • Develop and maintain semantic and subject-area data models to support analytics self-service and consistent business definitions.
  • Partner with BI and analytics teams to understand reporting needs and translate them into scalable, reusable curated datasets.
  • Lead schema design, join logic, and standardization efforts to improve data trust, consistency, and cross-domain usability.
  • Collaborate with data engineering teams on data transformations, modeling standards, and performance optimization.
  • Support future advanced analytics and ML use cases by ensuring curated datasets are well-structured, well-documented, and extensible.

Requirements

  • Bachelor’s degree in Information Systems, Data Science, Computer Science, or equivalent experience.
  • 5+ years in data product, analytics infrastructure, or data modeling roles.
  • 5+ years partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products.
  • 3–5 years designing dimensional models, schemas, and semantic layers for analytics or reporting use cases.
  • Advanced SQL skills and hands-on experience with data marts, transformations, and analytical datasets.
  • Experience maintaining semantic definitions, data catalogs, and quality standards for data discoverability and trustworthiness.

Culture & Benefits

  • Discretionary annual company bonus and 401(k) plan with 100% company match on the first 4%.
  • Comprehensive medical coverage (HSA & FSA plans), dental, and vision insurance.
  • Paid Time Off and Employee Assistance Program (EAP).
  • Emphasis on work-life balance, autonomy, and creativity.
  • Opportunity for personal and professional growth within a rapidly growing company.
  • Supportive, people-oriented environment with a focus on collaboration and achieving goals.

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